My projects

American Sign Language (ASL) Recognition

Engineered a deep learning solution for ASL recognition achieving 94% accuracy.

Built and trained a CNN-based model on labeled gesture data, with robust preprocessing and evaluation pipelines optimised for real-world usage.

Blood Donation Likelihood Predictor

Developed and deployed a predictive model increasing donor outreach efficiency by 30%.

Feature-engineered donor behaviour datasets and trained gradient boosting models with strong calibration and real-world deployment considerations.

American Sign Language Recognition (GitHub)

Deep learning for ASL gesture classification with robust preprocessing.

Employee Turnover Prediction

Predictive modeling to estimate turnover risk using HR features.

TensorGo ML Experiments

Exploratory ML experiments and prototypes in Python.

HAL Smart Township / Water Quality

ML-based smart township management and water quality modeling.